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Computational statistics
Results: 2978

#	Item
851	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:23 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
852	Semi-supervised Convex Training for Dependency Parsing Qin Iris Wang Department of Computing Science University of Alberta Edmonton, AB, Canada, T6G 2E8 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2008-05-15 19:50:05 Computational statistics Semi-supervised learning Word-sense disambiguation Pattern recognition Supervised learning Parsing Natural language processing Support vector machine Expectation–maximization algorithm Machine learning Statistics Artificial intelligence
853	Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor Add to Reading List Source URL: www.teradeep.com Language: English - Date: 2015-03-07 08:16:31 Cybernetics Computational statistics Statistics Graphics hardware GPGPU Artificial neural network Convolution Parallel computing Winner-take-all Neural networks Computational neuroscience Mathematics
854	Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields Chi-Hoon Lee Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-06-19 18:08:48 Artificial intelligence Supervised learning Semi-supervised learning Transduction Co-training Segmentation Conditional random field Generative model Information theory Machine learning Statistics Computational statistics
855	Artificial Neural Networks – Lab 5 Self-organising feature maps and Hopfield networks Purpose To study clustering with a self-organising feature map and pattern association with a Hopfield network. Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-02-08 05:38:25 Cybernetics Machine learning Computational statistics Hopfield network Networks Artificial neural network Self-organizing map Statistical classification Storage Neural networks Computational neuroscience Statistics
856	Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting Lukas Kroc, Ashish Sabharwal, Bart Selman Cornell University May 23, 2008 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2009-02-12 00:13:50 Complexity classes Boolean algebra Constraint programming Mathematical optimization Boolean satisfiability problem Constraint satisfaction problem NP-complete Belief propagation NP Theoretical computer science Computational complexity theory Applied mathematics
857	Neural Network Control of a Pneumatic Robot Arm Ted Hesselroth† , Kakali Sarkar∗ , Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-03 13:31:08 Robotics Science Robot Servomechanism Self-organizing map Statistics Cybernetics Computational neuroscience Neural networks
858	Language Identification System Kenni Bawden, Sasha Bermeister, Salvatore D’urso, Joseph Glanville, Callan McNamara, Tianyu Pu, Alexander Sharp, Joseph Wang, Andrian Yang, Joanne Yang, Donald Zhang Ghoti, University of Add to Reading List Source URL: comp.mq.edu.au Language: English - Date: 2014-08-13 00:42:05 Natural language processing Statistics Information theory Kullback–Leibler divergence Thermodynamics Entropy N-gram Language identification Cross entropy Science Statistical theory Computational linguistics
859	Say what? learning to recognize speech Semester or Master project Keywords: big data, machine learning, speech recognition, natural language processing Supervisors: Florent Garcin, {firstname.lastname}@epfl.ch Descripti Add to Reading List Source URL: lia.epfl.ch Language: English - Date: 2013-12-01 12:52:24 Artificial intelligence Statistics Speech recognition Computational neuroscience Computer accessibility Natural language processing Supervised learning Hidden Markov model Dynamic time warping Computational linguistics Science Machine learning
860	5.10 Additional File 10: Information included in OpenTox Reports Information that should be included in most OpenTox reports is as follows:_Â¶_ General information Date Runtime User (if available) Add to Reading List Source URL: jcheminf.com Language: English Cheminformatics Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Regression model validation Validation Statistics Science Chemistry

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